Crypto Whitepapers MCP Server

The Crypto Whitepapers MCP Server delivers a ready‑made, searchable knowledge base of cryptocurrency whitepapers to AI assistants such as Claude. By exposing a set of high‑level tools and prompts, the server turns raw PDF documents into structured, queryable text that can be leveraged by developers to build richer, data‑driven conversational experiences. Instead of manually parsing thousands of whitepapers or relying on external search engines, developers can simply ask the assistant to load, index, and interrogate these documents through a single MCP interface.

At its core, the server solves two key pain points: information discovery and knowledge extraction. The tool uses DuckDuckGo to locate the most relevant PDF for a given project, while downloads and indexes that file into an internal database. Once indexed, the tool enables contextual queries—either across all projects or filtered to a specific one—returning concise text snippets that answer the user’s question. This workflow abstracts away complex PDF parsing, OCR, and natural language understanding tasks, allowing developers to focus on higher‑level business logic.

Key capabilities include:

• Project discovery: lists all indexed projects, making it easy to audit the knowledge base.
• Dynamic content ingestion: Search and load operations can be triggered on demand, keeping the database up‑to‑date with new whitepapers.
• Contextual querying: supports optional project filtering, ensuring answers are relevant to the requested domain.
• Tokenomics analysis: The prompt demonstrates how the server can drive domain‑specific reasoning by combining tool outputs with pre‑defined prompts.

Real‑world use cases span research assistants that need quick access to blockchain economics, educational platforms that pull excerpts for study modules, and compliance tools that verify technical claims against original whitepapers. In a typical workflow, an AI assistant receives a user query like “Explain Ethereum’s supply model.” The assistant calls , which internally queries the knowledge base and returns a concise, citation‑rich explanation. This seamless integration reduces latency and eliminates manual document handling.

What sets this MCP server apart is its full‑stack integration with Claude Desktop. By configuring a single command line entry in the desktop’s MCP configuration, developers can expose all tools and prompts directly within the chat interface. The hammer icon in Claude’s input box signals that the server is active, and users can invoke any tool or prompt with natural language. This tight coupling between server capabilities and conversational UI empowers developers to build sophisticated, data‑driven assistants without writing custom connectors or parsing logic.